This article addresses the dynamic impact of the 2005 H5N1 avian influenza outbreak on the Turkish poultry sector. Contemporary time-series analyses with historical decomposition graphs are used to address differences in monthly price adjustments between market levels along the Turkish poultry supply channel. The empirical results show that price adjustments are asymmetric with respect to both speed and magnitude along the marketing channel. Results also reveal a differential impact of the exogenous shock on producers and retailers. The findings have critical efficiency and equity implications for the supply-chain participants.
Purpose – The purpose of this paper is to investigate the relationships among choice of risk management tools, perceived effectiveness of risk management tools, self-reported risk attitude, and farm and farmer characteristics. Design/methodology/approach – A mail survey was used to collect information about utilization of risk management tools, perceived effectiveness of risk management tools, and factors that could influence choice of risk management tools by Illinois farmers. Cluster analysis, one-way ANOVA, χ2 tests of independence, and multinomial logistic regression were utilized to detect possible relationships among choice of risk management tools, perceived effectiveness of risk management tools, self-reported risk attitude, and farm and farmer characteristics. Findings – Multinomial logistic regression analysis revealed that age and gross farm income (GFI) were the strongest predictors of the risk management tool utilization group to which an individual would be assigned. The number of risk management tools utilized decreased with age but increased with GFI. Neither self-reported risk attitude nor education was a significant independent variable in the multinomial logistic regression model, but both were strongly impacted by age. Younger farmers with higher GFI were the most likely users of hedging. Research limitations/implications – The results of this study provide support for the idea that farmers who are better able to generate revenue are better able to manage risk, but the direction of causality was not investigated. Practical implications – Risk management service providers could benefit from this study as a benchmark for understanding their current and potential farmer clients’ risk management strategies. Originality/value – This study used cluster analysis and multinomial logistic regression to address the complexity of decisions regarding multiple risk management tools. The number of tools utilized by individuals was investigated.
The structure of U.S. agriculture is a topic of relevance to farmers, policy makers, farm organizations, and academics. Over the last century, farm financial structure issues have become extremely important as the United States moved from an agrarian economy to a more industrialized one. Traditionally analyzed topics such as optimal capital structure, equity capital markets, entry into production agriculture by beginning farmers, and tax issues remain important. Societal effects caused by changing farm financial structure and the effect on the rural landscape are issues needing further research. Finally, research is needed on farm financial structure changes in other regions of the world that may affect the competitiveness of U.S. agriculture.
Purpose -The purpose of this paper is to determine which factors are most influential to farmers' crop insurance purchasing decisions in northern Illinois. Design/methodology/approach -A mail survey method was used to collect information from farmers in a 42 county region of Illinois. Findings -Of the factors analyzed, price had the most significant effect on crop insurance purchase decisions. While acres farmed had statistically significant impact on most of the crop insurance purchase decisions, different factors played a role in purchase decisions based on types of insurance and types of crops covered.Research limitations/implications -The results of this study warrant additional research relative to crop insurance purchase decisions. Analyzing the affect of varying degrees of government subsidization across crop insurance plans and coverage levels on purchase decisions is recommended. Questions regarding the relationship between crop insurance subsidization, farm program payments, and ad hoc disaster payments would be relevant in light of World Trade Organization and federal budget discussions. Also, asking participants to indicate if they have a written grain marketing plan and if that plan leverages crop insurance coverage to support forward contracting or pre-harvest pricing would provide additional insights in determining how crop insurance purchase decisions are made. Questions regarding the claims process should be incorporated into future studies on this topic. The timeliness of claims payments, as well as the farmer's level of satisfaction with the claims adjustor and claims process may factor into the decision-making process. Practical implications -Illinois farmers and crop insurance agencies could benefit from this study. Findings could improve the crop insurance products and services available to Illinois farmers and make the federal crop insurance program more effective in enhancing farmers' ability to manage crop production risk. Originality/value -This paper identified the factors that are most influential to farmers' crop insurance purchasing decisions in northern Illinois.
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